
Computer Vision Developer – USA
November 7, 2022
Taymer International Showcases Quality Inspection Machines at MD&M West 2024
January 25, 2024Advancing Quality Control across industries with Machine Learning and OCR


Machine learning plays a crucial role in Taymer’s approach to vision-based quality control in wire and cable production, along with optical character recognition.
Taymer’s machine learning approach strengthens surface inspection systems for detecting and classifying defects on the production line. Our technology accurately separates false alarms from real defects. This ensures a more reliable quality assurance report.
Training the software to analyze a diverse range of labeled defect images makes this possible. The software identifies and classifies defects by type. These defects include pinholes, scratches, water spots, discolorations, lumps, and neck downs. This training now enables the software to perform real-time quality inspection during production. As a result, it immediately flags real defects for further action.
Taymer’s machine learning Optical Character Recognition (OCR) features enhance Print Verification (PV) in production lines as your products leave the printer. The optical character recognition in our PV’s reads a wide range of font style and size used on cable print legend.The scanned printed legend is then converted to a machine readable format and included in the quality report.
The key benefits include:
- Guaranteed accuracy of print legends: Eliminates the potential for human error in setting up and assessing print quality.
- Improved traceability: verifying date codes and sequential markings for enhanced traceability.
- Instantaneous error notification: Provides operators with immediate notifications without additional setup requirements.
Taymer’s commitment to precision, reliability and innovation is proven with our technological advancements. Taymer continues to deliver quality control solutions for manufacturing in the wire and cable industry and beyond.